Log vending with Bacalhau
Expanso empowers organizations by providing innovative solutions to streamline and enhance log management processes at scale. Bacalhau, an industry-leading open-source solution created and maintained by Expanso, enables distributed log processing that delivers both cost efficiency and scalability. Built to handle massive log volumes in distributed environments, Bacalhau is perfect for organizations looking to optimize their log ingestion and analysis pipelines without the limitations of centralized systems.
Distributed log orchestration emerges as the solution.
With distributed log orchestration, logs are processed where they are generated, minimizing the cost and complexity of log storage and transfer. Bacalhau offers a flexible, scalable solution that meets the needs of real-time processing, long-term archival, and optimized log storage.
By processing logs locally, organizations can reduce the costs and complexities associated with transferring large volumes of log data.
Logs are aggregated at the source, enabling faster and more efficient querying, without relying on expensive centralized systems.
Bacalhau enables real-time analysis of logs, providing immediate insights into system performance and potential issues without incurring delays.
Avoid vendor lock-in with flexible storage strategies, leveraging local storage, cloud-based solutions, or hybrid setups that fit your needs.
Bacalhau as a distributed log orchestrator.
Bacalhau simplifies the management of logs across distributed environments, allowing organizations to efficiently process logs where they are generated. This reduces the need for extensive data transfer and expensive centralized log storage solutions. Bacalhau is lightweight, compatible with a wide range of systems, and integrates seamlessly into your existing infrastructure.
Bacalhau’s compatibility with Docker and WebAssembly enables it to process logs across various systems, from modern cloud architectures to legacy servers, ensuring your existing infrastructure is optimized.
Direct Log Access Bacalhau minimizes the need for large-scale data movement by enabling direct access to local logs. It supports various storage options like S3-compatible storage and IPFS, ensuring logs are easily accessible for processing.
Bacalhau assigns log processing tasks based on node characteristics, optimizing performance. Its job allocation ensures that the right compute nodes handle the right tasks efficiently.
Bacalhau integrates effortlessly with existing logging systems, providing flexibility through plugins and extensions. Its modular design allows organizations to quickly adapt to evolving needs without requiring costly reconfigurations.
Implementation Example
Consider a global cloud provider managing logs from multiple data centers across different regions. Traditionally, logs from each data center would be sent to a centralized platform for processing, leading to high transfer costs and delays in real-time insights.
With Bacalhau, each data center deploys compute nodes that process logs locally. The control plane orchestrates log aggregation and sends logs for storage or real-time processing based on the organization’s needs. This approach enables real-time insights at each location without relying on a centralized log platform.
Organizations gain access to near real-time data across their entire infrastructure, allowing them to make faster, more informed decisions.
By processing logs locally and reducing the need for extensive data transfer, Bacalhau helps organizations save on network and storage costs.
Minimizing data transfer between regions reduces the risk of data breaches and helps maintain compliance with data governance regulations.
Bacalhau’s distributed architecture allows organizations to scale their log processing infrastructure efficiently without overburdening their central infrastructure.
Build it Yourself
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